{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-2.35935319, -0.27471649,  2.64076131, ...,  1.05384721,\n",
       "        0.95571411,  1.62395371])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_bed = pd.read_csv(\"39Hz_Accelerometer.csv\",names=[\"time\",\"acc\"])\n",
    "df_bed.head(5)\n",
    "acc_list = df_bed[\"acc\"]\n",
    "acc_list = acc_list *1000 - 1000\n",
    "acc_list = np.array(acc_list)\n",
    "acc_list_mean = np.mean(acc_list)\n",
    "acc_list = acc_list - acc_list_mean\n",
    "acc_list "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "from filterpy.kalman import KalmanFilter\n",
    "from filterpy.common import Q_discrete_white_noise\n",
    "\n",
    "\n",
    "\n",
    "# dim_x 状态向量size\n",
    "# dim_z 测量向量size\n",
    "\n",
    "my_filter = KalmanFilter(dim_x=2, dim_z=1)\n",
    "\n",
    "# x 这个初始值不是非常重要，因为迭代几次后会接近于真实值\n",
    "my_filter.x = np.array([[0.],[0.]])\n",
    "\n",
    "# p 这个初始值不是非常重要，因为迭代几次后会接近于真实值\n",
    "# p 建议1001，假设他们没关系\n",
    "my_filter.P = np.array([[1.,0.],[0.,1.]])\n",
    "\n",
    "# F 因为每秒采一次样，所以dt填1\n",
    "my_filter.F = np.array([[1.,1.],[0.,1.]])  \n",
    "\n",
    "# Q 状态转移协方差矩阵 因为我们对F非常确定，觉得F一定不会出错，所以Q方差设的很小\n",
    "my_filter.Q = np.array([[0.0001,0.],[0.,0.0001]])  \n",
    "# 观测矩阵 Hx = p\n",
    "# 观测矩阵的左边一项不能设置成0\n",
    "my_filter.H = np.array([[1,0]])\n",
    "# 因为上面噪声设置的是方差为1的噪声，所以这里也是1    （为什么）\n",
    "my_filter.R = 1 \n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "z_new_list = []\n",
    "v_new_list = []\n",
    "for k in range(len(acc_list)):\n",
    "    my_filter.predict()\n",
    "    my_filter.update(acc_list[k])\n",
    "    # do something with the output\n",
    "    x = my_filter.x\n",
    "    z_new_list.append(x[0][0])\n",
    "    v_new_list.append(x[1][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "acc_list_std = np.std(acc_list)\n",
    "acc_list_avg = np.mean(acc_list)\n",
    "acc_filterd_list_std = np.std(z_new_list)\n",
    "import seaborn as sns\n",
    "plt.figure(figsize=(16,9))\n",
    "ax = sns.kdeplot(acc_list,shade=True,color=\"r\",label=\"std=%.3f\"%acc_list_std)\n",
    "ax = sns.kdeplot(z_new_list,shade=True,color=\"g\",label=\"std=%.3f\"%acc_filterd_list_std)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PathCollection at 0x130e73f90>"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16,9))\n",
    "\n",
    "plt.scatter(range(len(acc_list)),acc_list)\n",
    "plt.scatter(range(len(z_new_list)),z_new_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1302f4050>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(acc_list,shade=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
